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| # 🚀 Deployment Guide for Smart Object Size Estimator | |
| This guide explains how to deploy the Smart Object Size Estimator to Hugging Face Spaces. | |
| ## 📁 Required Files | |
| Make sure you have all these files in your HuggingFace Space: | |
| ``` | |
| ├── app.py # Main Gradio application | |
| ├── requirements.txt # Python dependencies | |
| ├── config.yaml # HuggingFace Space configuration | |
| ├── README.md # Project documentation | |
| ├── DEPLOYMENT.md # This deployment guide | |
| └── goal2/ # Source code directory | |
| └── src/ | |
| └── agent/ | |
| ├── __init__.py | |
| ├── models.py # AI model loading | |
| ├── geometry.py # Size calculations | |
| └── io.py # Image processing utilities | |
| ``` | |
| ## 🔧 Step-by-Step Deployment | |
| ### 1. Create a New HuggingFace Space | |
| 1. Go to [huggingface.co/spaces](https://huggingface.co/spaces) | |
| 2. Click "Create new Space" | |
| 3. Choose: | |
| - **Space name**: `smart-object-size-estimator` (or your preference) | |
| - **License**: MIT | |
| - **SDK**: Gradio | |
| - **Hardware**: CPU Basic (free tier) or GPU if available | |
| ### 2. Upload Files | |
| Upload all the files listed above to your Space. You can either: | |
| - Use the web interface to drag & drop files | |
| - Use git to clone and push files | |
| - Use the HuggingFace CLI | |
| ### 3. Model Weight Configuration | |
| The app automatically downloads model weights: | |
| - **Depth Anything V2**: Downloaded from HuggingFace Hub | |
| - **SAM**: Downloaded from Facebook's repository | |
| No manual model upload required! | |
| ### 4. Environment Configuration | |
| The `config.yaml` file configures: | |
| - Python version: 3.9+ | |
| - Gradio SDK version: 4.44.0 | |
| - Hardware requirements: CPU (upgradeable to GPU) | |
| ### 5. Dependencies Installation | |
| All dependencies are listed in `requirements.txt`: | |
| - Core ML: PyTorch, transformers | |
| - Image processing: OpenCV, PIL, matplotlib | |
| - Web interface: Gradio | |
| - Utilities: NumPy, scikit-image | |
| ## 🚦 Launch Process | |
| 1. **Upload files** → Space shows "Building..." | |
| 2. **Install dependencies** → Takes ~2-3 minutes | |
| 3. **Download models** → First run takes ~1-2 minutes | |
| 4. **Ready!** → App accessible at your Space URL | |
| ## 📊 Expected Resource Usage | |
| ### CPU Version (Free Tier) | |
| - **RAM**: ~2-4 GB during inference | |
| - **Storage**: ~3 GB (models + dependencies) | |
| - **Speed**: 10-30 seconds per image | |
| ### GPU Version (Paid Tier) | |
| - **RAM**: ~4-6 GB during inference | |
| - **Speed**: 3-8 seconds per image | |
| - **Cost**: Variable based on usage | |
| ## 🔍 Troubleshooting | |
| ### Common Issues | |
| 1. **"Model download failed"** | |
| - Solution: Check internet connectivity, retry after a few minutes | |
| - Models are large (1-2 GB total) | |
| 2. **"Out of memory" errors** | |
| - Solution: Upgrade to GPU hardware or reduce image sizes | |
| - The app automatically resizes very large images | |
| 3. **"Import errors"** | |
| - Solution: Check `requirements.txt` versions | |
| - Ensure all dependencies are properly listed | |
| 4. **Slow processing** | |
| - Solution: Consider upgrading to GPU hardware | |
| - CPU processing is slower but works fine | |
| ### Debug Mode | |
| To enable debugging, set `debug=True` in the `demo.launch()` call: | |
| ```python | |
| demo.launch(share=True, debug=True) | |
| ``` | |
| ## 🎯 Performance Optimization | |
| ### For Better Speed: | |
| 1. Upgrade to GPU hardware | |
| 2. Use smaller input images when possible | |
| 3. Consider caching models if using persistent storage | |
| ### For Better Accuracy: | |
| 1. Use camera-specific presets when available | |
| 2. Ensure good lighting in input images | |
| 3. Choose reference objects with known precise dimensions | |
| ## 🔐 Privacy & Security | |
| - **No data storage**: Images are processed in memory only | |
| - **No user tracking**: No personal data collected | |
| - **Model privacy**: All processing happens on HuggingFace servers | |
| - **Open source**: All code is publicly available | |
| ## 📈 Monitoring & Analytics | |
| HuggingFace Spaces provides built-in analytics: | |
| - Usage statistics | |
| - Performance metrics | |
| - Error logs | |
| - Resource consumption | |
| Access these through your Space settings panel. | |
| ## 📞 Support | |
| If you encounter issues: | |
| 1. **Check the Space logs** in the HuggingFace interface | |
| 2. **Review the README.md** for usage instructions | |
| 3. **Test with example images** to isolate problems | |
| 4. **Consider hardware upgrades** for performance issues | |
| ## 🔄 Updates & Maintenance | |
| To update the app: | |
| 1. Modify files in your local copy | |
| 2. Push changes to the Space repository | |
| 3. Space will automatically rebuild | |
| 4. Test thoroughly after updates | |
| ## 📋 Pre-Launch Checklist | |
| - [ ] All required files uploaded | |
| - [ ] `config.yaml` properly configured | |
| - [ ] `requirements.txt` includes all dependencies | |
| - [ ] Test with sample images | |
| - [ ] Verify camera presets work | |
| - [ ] Check reference object system | |
| - [ ] Ensure error handling works | |
| - [ ] Documentation is complete | |
| ## 🎉 Launch! | |
| Once everything is set up, your Space will be live at: | |
| `https://huggingface.co/spaces/[your-username]/[space-name]` | |
| Share this URL with users and enjoy your deployed AI-powered size estimation tool! | |